Copyright (C) 2013
Salvatore La Bua slabua(at)gmail.com
MTM
GLB
DICGIM - University of Palermo
Kalman, Particle and SLAM Filters implemented for the 2012/2013 Robotics course.
The 2D robot (x, y) follows a linear path using the distance to a wall to localise itself.
The 2D robot (x, y) follows a linear path using the distance to a landmark to localise itself.
The 3D robot (x, y, θ) follows a linear path using the distance to a wall to localise itself.
The 3D robot (x, y, θ) follows a linear path using the distance to the closest landmark to localise itself.
The 3D robot (x, y, θ) follows a path defined by a series of waypoints using the distance to the landmarks to localise itself and internally build a map of the environment.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.